Two-level Collaborative Optimal Allocation Method of Integrated Energy System Considering Wind and Solar Uncertainty

Aiming at the problem of ideal system capacity configuration and low utilization rate of integrated energy systems containing wind power and photovoltaics due to the lack of the consideration of the uncertainty of wind and solar, a two-level collaborative optimal configuration method of integrated energy considering wind and solar uncertainty is proposed. First, based on the Wasserstein distance index, the optimal discrete distribution is obtained, the Frank-Copula function is used to establish the joint distribution function of wind power and photovoltaic, the basic scene set is generated by the roulette selection method. Second, the improved spectral clustering algorithm with filtering noise scenes and distance correlation strategy is adopted to iteratively reduce the basic scene set to obtain the typical scene set. Then, a two-level collaborative optimization configuration model of an integrated energy system based on typical scene set is constructed, the upper layer solves the equipment selection problem with the highest average annual equipment utilization, and the lower layer solves the equipment fixed capacity problem with the lowest annualized total cost. Finally, based on a planning example of an integrated energy system with Matlab platform, the simulation results show that Two-level Collaborative Optimal Allocation Method of Integrated Energy System Considering Wind and Solar Uncertainty optimize the capacity configuration of the integrated energy system, and improve the total annual cost of the system and the average annual utilization of equipment, which verifies the effectiveness and economy of the proposed method. © 2020, Power System Technology Press. All right reserved.